Pre-Trained Transformer
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
Artificially generated data that mimics real data, used for training machine learning models.
A strategy or plan that outlines how a company will launch a product to market, including target audience, marketing tactics, and sales strategy.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices.
A mental shortcut that relies on immediate examples that come to mind when evaluating a specific topic, concept, method, or decision.
The process by which a measure or metric comes to replace the underlying objective it is intended to represent, leading to distorted decision-making.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean.